Alive for batch processing intelligence
Business Challenge
Mission-critical business services often depend on batch jobs executing in specified order and at specified times to support the business processes that you use to run your business. Assuring on-time completion of these jobs is critical and poses a significant challenge for organizations who depend on them to run their business. Batch-related slowdowns and failures can be caused by the jobs themselves, or may be caused by capacity related issues in the infrastructure. When jobs fail or slowdown, all subsequent jobs can also be effected, causing business processes to come to a halt while the problem is identified and repaired. These batch-related issues must be identified and appropriate staff notified, before business is negatively impacted.
Business Need
- Know when batch jobs start and/or finish on time and when they don’t
- Get proactive notification of batch-related performance problems before business processes are impacted with root cause
- Determine impact of batch slowdowns and failures to related jobs and business processes
Our Solution
Integrien Alive supports successful, on-time completion of critical batch business processes. Alive uses advanced dynamic thresholding to learn the normal start and end times for individual batch processes and can clearly show when jobs aren’t starting or finishing on-time. Alive’s powerful correlation analytics can identify building performance problems in the infrastructure that will impact batch processes and proactively alert you with detailed root cause so that you can address them before they affect your business services. With Alive’s container relationships (easily populated from BMC Control M, Ab Initio, or created via drag and drop GUI), you’ll understand the impact of batch job slowdowns and failures on the rest of the batch processes that your business services rely on. With Alive, you’ll manage your batch processes from a business perspective for the first time.
Key Features & Benefits
- Sophisticated dynamic base-lining (thresholding) identifies when batch jobs don’t start and/or end on time
- Smart Alerts™ proactively detect potential performance problems with batch processes to eliminate business service impact
- Alive’s container relationships allow quick identification of other jobs in the business process that will be affected by a batch-related slowdown or failure
- Enables batch processes to complete on-time and ensures business services stay available

